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Image spam is a type of e-mail spam that embeds spam text content into graphical images to bypass traditional text-based e-mail spam filters. To effectively detect image spam, it is desirable to leverage image content analysis technologies. However, most previous works of image spam detection focus on filtering the image spam on the client side. This paper proposes a more desirable comprehensive solution which embraces both server-side filtering and client-side detection to effectively mitigate image spam.
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